@inproceedings{22a81d0708bb49cbb122a56404052e26,
title = "The ROI of rice planthopper by image processing",
abstract = "Rice Planthopper (RPH) infestation in paddy field is a serious disaster in Asia every year. Finding RPHs based on image processing is an important thing before RPHs growth. We propose a region of interest (ROI) method to detect RPHs clearly. First, get rectangle ROI in HSV space and do color analysis. By using decision tree algorithm, classify analytic data to get binary image of RPHs. The results are useful to reduce executing time and loading and obtain image of RPHs.",
keywords = "Image processing, ROI, Rice planthopper (RPH)",
author = "Tsai, {Tsung Han} and Lee, {Ting Yu} and Chen, {Po Hsun}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Applied System Innovation, ICASI 2017 ; Conference date: 13-05-2017 Through 17-05-2017",
year = "2017",
month = jul,
day = "21",
doi = "10.1109/ICASI.2017.7988363",
language = "???core.languages.en_GB???",
series = "Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "126--129",
editor = "Teen-Hang Meen and Lam, {Artde Donald Kin-Tak} and Prior, {Stephen D.}",
booktitle = "Proceedings of the 2017 IEEE International Conference on Applied System Innovation",
}